Central Limit theorem : The Central Limit Theorem is a fundamental statistical principle that states that, given a sufficiently large sample size, the distribution of sample means will approach a normal distribution. This means that, even if the underlying population distribution is not normally distributed, the distribution of sample means will approximate a normal distribution […]

Centile Reference Charts : Centile reference charts are graphical representations of data that show the distribution of a certain characteristic or trait within a population. They are commonly used in the medical field to assess the growth and development of children, but can also be applied to other areas such as nutrition and fitness. A […]

 Centile : Centile is a term used in statistics to describe the relative standing of a value within a dataset. It is a measure of where a particular value falls in relation to the rest of the values in the dataset, and is typically expressed as a percentage. For example, if a dataset contains 1000 […]

Centering : Centering refers to the practice of subtracting the mean from each variable in a data set before conducting statistical analysis. This can be useful in addressing multicollinearity, which is a statistical issue that arises when two or more variables in a data set are highly correlated. Multicollinearity can cause problems in statistical analysis […]

Census : Census is a term that refers to a process of collecting, analyzing, and disseminating demographic, social, and economic data about a population. This process is typically conducted by a government agency, such as the United States Census Bureau, and is used to gather information about the size, composition, and characteristics of a population. […]

Censored regression models : Censored regression models are a type of statistical model used to analyze data where the dependent variable is censored, or not fully observed. This occurs when the data has a lower or upper limit, such as in the case of survey responses where participants can only choose from a limited range […]

Ceiling effect : The ceiling effect is a phenomenon that occurs when the upper limit or ceiling of a measuring scale is reached, and there is no further room for improvement or increase in the measured variable. This can lead to a skewed or inaccurate representation of the data, as the true ability or performance […]

Causality : Causality in statistics refers to the relationship between two variables, where one variable (the cause) has an effect on the other variable (the outcome). In other words, causality is the concept that the relationship between two variables is not simply a correlation, but that one variable directly affects the other. Causality is a […]

Categorical Variable : A categorical variable is a type of data that can be divided into distinct categories or groups. This type of variable is often used in statistical analysis to classify and analyze data based on specific characteristics or attributes. Categorical variables are often used in survey research and marketing research to understand customer […]

Categorical distribution : Categorical distribution is a type of probability distribution that involves a set of possible categories or outcomes. It is often used to model the probability of an outcome occurring within a certain category. For example, if we were to toss a coin, the possible outcomes would be heads or tails, and the […]